1,389 research outputs found

    A multi-criteria decision-making method based on single-valued trapezoidal neutrosophic preference relations with complete weight information

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    Single-valued trapezoidal neutrosophic numbers (SVTNNs) have a strong capacity to depict uncertain, inconsistent, and incomplete information about decisionmaking problems. Preference relations represent a practical tool for presenting decision makers’ preference information regarding various alternatives

    catena-Poly[[diaqua­nickel(II)]-bis­(μ-2-{[5-(pyridin-4-yl)-1,3,4-oxadiazol-2-yl]sulfan­yl}acetato)]

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    In the title compound, [Ni(C9H6N3O3S)2(H2O)2]n, the NiII atom, located on an inversion center, is ligated in an octa­hedral geometry by two carboxyl­ate O atoms from two 2-{[5-(pyridin-4-yl)-1,3,4-oxadiazol-2-yl]sulfan­yl}acetate (L) ligands and two O atoms from water mol­ecules in the equatorial plane, and two pyridine N atoms from other two L ligands at the apical sites. Two L ligands bridge pairs of metal atoms in an anti­parallel manner, forming centrosymmetric dinuclear quasi-recta­ngular units which are linked into infinite double-stranded chains parallel to [100]. O—H⋯O hydrogen bonds between the coordinating water mol­ecules and the carboxyl­ate groups of the L ligand as well as interchain S⋯N inter­actions [2.726 (2)–3.363 (2) Å] lead to the formation of a layer structure parallel to (001)

    Bis{1-[(1H-benzimidazol-1-yl)methyl-κN 3]-1H-1,2,3,4-tetra­zole}silver(I) nitrate

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    In the title salt, [Ag(C9H8N6)2]NO3, the central AgI atom is linearly coordinated by the N atoms [171.97 (8)°] from two 1-[(benzimidazol-1-yl)meth­yl]-1H-1,2,3,4-tetra­zole ligands. The benzimidazole rings in adjacent mol­ecules are parallel with an average inter­planar distance of 3.461 Å; adjacent mol­ecules are linked through N—H⋯O hydrogen bonds into a linear chain along the b-axis direction

    A linguistic Neutrosophic Multi-Criteria Group Decision-Making Method to University Human Resource Management

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    Competition among different universities depends largely on the competition for talent. Talent evaluation and selection is one of the main activities in human resource management (HRM) which is critical for university development. Firstly, linguistic neutrosophic sets (LNSs) are introduced to better express multiple uncertain information during the evaluation procedure. We further merge the power averaging operator with LNSs for information aggregation and propose a LN-power weighted averaging (LNPWA) operator and a LN-power weighted geometric (LNPWG) operator. Then, an extended technique for order preference by similarity to ideal solution (TOPSIS) method is developed to solve a case of university HRM evaluation problem. The main contribution and novelty of the proposed method rely on that it allows the information provided by different decision makers (DMs) to support and reinforce each other which is more consistent with the actual situation of university HRM evaluation. In addition, its effectiveness and advantages over existing methods are verified through sensitivity and comparative analysis. The results show that the proposal is capable in the domain of university HRM evaluation and may contribute to the talent introduction in universities

    Sound absorption properties of polyurethane-based warp-knitted spacer fabric composites

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    Sound absorption properties of polyurethane-based warp-knitted spacer fabric composites (PWSF) have been studied. The warp-knitted spacer fabrics (WSF) are produced on a double-needle bar warp knitting machine using different structural parameters including inclination angle of spacer yarn, thickness, spacer yarn’s diameter and surface layer structure. The composites are fabricated based on a flexible polyurethane foam. Accordingly, the acoustical behaviors of composites are evaluated properly by using two-microphone transfer function techniques in impedance tube. The findings reveal that the composites possess excellent sound absorption properties and their sound absorbability can be tailored to meet the specificend-use requirements by varying the fabric structural parameters

    Data-driven Computational Social Science: A Survey

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    Social science concerns issues on individuals, relationships, and the whole society. The complexity of research topics in social science makes it the amalgamation of multiple disciplines, such as economics, political science, and sociology, etc. For centuries, scientists have conducted many studies to understand the mechanisms of the society. However, due to the limitations of traditional research methods, there exist many critical social issues to be explored. To solve those issues, computational social science emerges due to the rapid advancements of computation technologies and the profound studies on social science. With the aids of the advanced research techniques, various kinds of data from diverse areas can be acquired nowadays, and they can help us look into social problems with a new eye. As a result, utilizing various data to reveal issues derived from computational social science area has attracted more and more attentions. In this paper, to the best of our knowledge, we present a survey on data-driven computational social science for the first time which primarily focuses on reviewing application domains involving human dynamics. The state-of-the-art research on human dynamics is reviewed from three aspects: individuals, relationships, and collectives. Specifically, the research methodologies used to address research challenges in aforementioned application domains are summarized. In addition, some important open challenges with respect to both emerging research topics and research methods are discussed.Comment: 28 pages, 8 figure

    Tetra­aqua­{1-[(1H-1,2,3-benzotriazol-1-yl)meth­yl]-1H-1,2,4-triazole}sulfato­zinc(II) dihydrate

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    In the title complex, [Zn(SO4)(C9H8N6)(H2O)4]·2H2O, the ZnII ion is six-coordinated by one N atom from a 1-[(1H-1,2,3-benzotriazol-1-yl)meth­yl]-1H-1,2,4-triazole ligand and five O atoms from one monodentate sulfate anion and four water mol­ecules in a distorted octa­hedral geometry. The sulfate tetra­hedron is rotationally disordered over two positions in a 0.618 (19):0.382 (19) ratio. In the crystal, adjacent mol­ecules are linked through O—H⋯O and O—H⋯N hydrogen bonds involving the cation, the anion, and the coordinated and uncoordinated water mol­ecules into a three-dimensional network

    Diaqua­[5,5′-dicarb­oxy-2,2′-(propane-1,3-di­yl)bis­(1H-imidazole-4-carboxyl­ato)]manganese(II)

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    The complex mol­ecule of the title compound, [Mn(C13H10N4O8)(H2O)2] or [Mn(H4pbidc)(H2O)2] (H6pbidc = 2,2′-(propane-1,3-di­yl)bis­(1H-imidazole-4,5-dicarb­oxy­lic acid), has 2 symmetry with the twofold rotation axis running through the Mn2+ cation and the central C atom of the propanediyl unit. The cation is six-coordinated by two N atoms and two O atoms from one H4pbidc2− anion and two water O atoms in a considerably distorted octa­hedral coordination. In the crystal, adjacent mol­ecules are linked through O—H⋯O and N—H⋯O hydrogen bonds into a three-dimensional network
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